activity
20092025
most citedExploring percolation phase transition in the three-dimensional Ising model with machine learning

2 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

hep-ph2025

Several problems on the measured hyperorder cumulants of net-proton distributions in heavy-ion collisions

Lizhu Chen, Ye-Yin Zhao, Zhiming Li +1

Hyperorder cumulants and are recommended as sensitive observables to explore the QCD phase transition in heavy-ion collisions. Precisely measuring their results…

nucl-th2024★ 1 cited

Identifying weak critical fluctuations of intermittency in heavy-ion collisions with topological machine learning

Rui Wang, Chengrui Qiu, Chuan-Shen Hu +2

Large density fluctuations of conserved charges have been proposed as a promising signature for exploring the QCD critical point in heavy-ion collisions. These fluctuations are exp…

nucl-th2024

Impact of Limited Statistics on the Measured Hyper-Order Cumulants of Net-Proton Distributions in Heavy-Ion Collisions

Lizhu Chen, Ye-Yin Zhao, Yunshan Cheng +3

Hyper-order cumulants and of net-baryon distributions are anticipated to offer crucial insights into the phase transition from quark-gluon plasma to hadronic ma…

nucl-th2023★ 2 cited

Exploring percolation phase transition in the three-dimensional Ising model with machine learning

Ranran Guo, Xiaobing Li, Rui Wang +3

The percolation study offers valuable insights into the characteristics of phase transition, shedding light on the underlying mechanisms that govern the formation of global connect…

nucl-th2009★ 1 cited

Locating critical point of QCD phase transition basing on finite-size scaling

Chen Lizhu, X. S. Chen, Wu Yuanfang

It is argued that in relativistic heavy ion collisions, due to limited size of the formed matter, the reliable criterion of critical point is finite-size scaling, rather than non-m…